A novel process monitoring framework combined temporal feedback autoencoder and multilevel correlation analysis for large-scale industrial processes-Reference-Cited by-同舟云学术

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A novel process monitoring framework combined temporal feedback autoencoder and multilevel correlation analysis for large-scale industrial processes

Published:2024-06 Issue: Volume:233 Page:114749
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Cuicui,Dong Jie,Zhang Hongjun,Liu Xizhi,Peng Kaixiang^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. Multimode process identification and monitoring based on hierarchical fluctuation window strategy;Guo;Measurement,2023

2. Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE;Yuan;Neurocomputing,2020

3. Industrial process fault detection and diagnosis framework based on enhanced supervised kernel entropy component analysis;Xu;Measurement,2022

4. Fuzzy comprehensive evaluation strategy for operating state of electrocoagulation purification process based on sliding window;Zhu;Process Saf. Environ.,2022

5. A novel method of neural network model predictive control integrated process monitoring and applications to hot rolling process;Xu;Expert. Syst. Appl.,2023

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